Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pretargeted <sup>177</sup>Lu/<sup>225</sup>Ac combination therapy of colorectal cancer.

Theranostics·2026
Same author

Characterization and Calibration of the iQID Digital Autoradiography System for Direct Quantitative Imaging of Beta-Emitters in Tissue Samples.

bioRxiv : the preprint server for biology·2026
Same author

Spatial uniformity and resolution in inkjet-printed <sup>241</sup>Am phantoms imaged by digital autoradiography.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2025
Same author

Comparison of targeting two antigens (GPA33 versus HER2) for <sup>225</sup>Ac-pretargeted alpha-radioimmunotherapy of colorectal cancer.

Theranostics·2025
Same author

Analytical methods for system matrix calculation and spatial resolution evaluation of DC-SPECT system.

Physics in medicine and biology·2025
Same author

Clarifying the role of the resist-accept-direct framework in supporting resource management planning processes.

Conservation biology : the journal of the Society for Conservation Biology·2025

Related Experiment Video

Updated: Apr 6, 2026

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

26.5K

A System Calibration and Fast Iterative Reconstruction Method for Next-Generation SPECT Imagers.

Brian W Miller1, Roel Van Holen2, Harrison H Barrett1

  • 1Center for Gamma-Ray Imaging and the College of Optical Sciences, University of Arizona, Tucson, AZ 85724 USA.

IEEE Transactions on Nuclear Science
|August 4, 2015
PubMed
Summary

High-resolution gamma cameras create large datasets, causing memory issues for single-photon emission computed tomography (SPECT) imaging. A new method generates the system matrix on-the-fly using graphics hardware, enabling faster tomographic reconstructions.

Keywords:
Calibrationgraphics processing units (GPUs)high-performance computingimage reconstructionordered-subset expectation maximization (OSEM)single-photon emission computed tomography (SPECT)system matrix

More Related Videos

Correlative Optical Spectroscopy and Mass Spectrometry Imaging Methodology to Visualise Drug Distribution in a Soft Tissue Section
07:05

Correlative Optical Spectroscopy and Mass Spectrometry Imaging Methodology to Visualise Drug Distribution in a Soft Tissue Section

Published on: June 20, 2025

1.6K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.9K

Related Experiment Videos

Last Updated: Apr 6, 2026

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

26.5K
Correlative Optical Spectroscopy and Mass Spectrometry Imaging Methodology to Visualise Drug Distribution in a Soft Tissue Section
07:05

Correlative Optical Spectroscopy and Mass Spectrometry Imaging Methodology to Visualise Drug Distribution in a Soft Tissue Section

Published on: June 20, 2025

1.6K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.9K

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Computational Science

Background:

  • High-resolution gamma cameras in single-photon emission computed tomography (SPECT) generate large datasets.
  • Large numbers of detector elements and voxel bins lead to significant memory storage challenges for system matrices.
  • Iterative algorithms for fast tomographic reconstructions are hindered by these memory constraints.

Purpose of the Study:

  • To develop an efficient method for handling large system matrices in high-resolution SPECT imaging.
  • To enable fast tomographic reconstructions on graphics hardware despite memory limitations.
  • To present a novel approach for parameterizing detector response and generating system matrices dynamically.

Main Methods:

  • Parameterization of detector response to point sources.
  • On-the-fly system matrix generation during iterative reconstruction (MLEM/OSEM) on graphics hardware.
  • Utilizing a small-animal SPECT imager (FastSPECT III) for validation.

Main Results:

  • Successfully addressed memory storage issues associated with large system matrices.
  • Demonstrated the feasibility of dynamic system matrix generation for faster reconstructions.
  • Presented calibration methods, coefficient data interpolation, and reconstruction results from FastSPECT III.

Conclusions:

  • The developed method effectively overcomes memory limitations in high-resolution SPECT.
  • On-the-fly system matrix generation on graphics hardware accelerates tomographic reconstructions.
  • This approach is crucial for advancing fast and efficient small-animal SPECT imaging.